afiaka87/clip-guided-diffusion
quality grade D, 46 out of 100A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
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Diffusion models, image editing, upscaling and the surrounding creative tooling.
Signals: stable-diffusion, diffusion-models, image-generation, text-to-image, generative-art, comfyui, controlnet, flux
875 results
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
StyleShot: A SnapShot on Any Style. 一款可以迁移任意风格到任意内容的模型,无需针对图片微调,即能生成高质量的个性风格化图片!
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
T2F: text to face generation using Deep Learning
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
Official code for the CVPR 2025 paper "SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models."
Generative Adversarial Text to Image Synthesis / Please Star -->
(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators
face-to-sticker
基于Stable Diffusion优化的AI绘画模型。支持输入中英文文本,可生成多种现代艺术风格的高质量图像。| An optimized text-to-image model based on Stable Diffusion. Both Chinese and English text inputs are available to generate images. The model can generate high-quality images in several modern art styles.
[ICCV 2023] A latent space for stochastic diffusion models
Flash Diffusion — accelerating conditional diffusion models (AAAI 2025 Oral)
Official implementation of OneDiffusion paper (CVPR 2025)
HunyuanImage-2.1: An Efficient Diffusion Model for High-Resolution (2K) Text-to-Image Generation
Personalization for Stable Diffusion via Aesthetic Gradients 🎨
Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
A collection of awesome text-to-image generation studies.
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
AI-powered Text-to-Art Generator - Text2Art.com
[ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
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